By using big data analytics and both advanced data mining and behavioural analysis, we help telecom companies in various areas for strategic excellence and revenue maximization.

Telecom

Looking at today’s dynamic and aggressive competition, companies are running short on strategies. Even though companies have been struggling with pricing pressures for a very long time, however there are many more challenges to accompany now such no differentiation advantage over products and services based on handset selection and network quality, price cuts, competitive bundles and offers. As new subscriber acquisition costs are very high, managing the churn in the customer base has become extremely important. While telecom companies have access to terabytes of data, they need an advanced data-driven solution that can help them achieve timely and accurate insights and help them maximize revenue per customer and fight churn rate in parallel. By using big data analytics and both advanced data mining and behavioural analysis, we help telecom companies in various areas for strategic excellence and revenue maximization.

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Customer retention and Churn minimization

Research has proven that analytics can reduce churn rate up to 20%. Using our expertise with advanced models and data mining, we help companies in identifying important but unexplored variables to understand pattern and derive insights that contributed to customer churn. Telecom companies can use this data to find the reasons behind the churn and tweak their retention strategies to come up with personalized solutions that can help retain customers.

Customer Insights

There has to be a clear differentiation between ‘customers’ and ‘customer touch points’. If business continue looking at the customers’ touch points and ignore the experience including personalization, excellence and satisfaction, in telecom industry, it is enormously difficult to be the market leaders. The customer journey has to be understood thoroughly and as it is not possible to do this with legacy methods, machine learning can help here. To get in customers shoes and understand their pain points is what is the raw ingredient of overall objective. Our data mining algorithms exactly do that.

Social media and Sentiment Analysis

One of the areas which we are really proud of is social listening and social media analytics including sentiment analytics. It has become an integral part of any business domain. For telecom specifically, this can be used for market differentiation. Our experts will provide real-time insights on customer engagement through social listening techniques such as sentiment analysis and applied clustering. By applying these techniques, we can identify your top influencers, topics of interest among your users and segment groups of users with similar traits.

Network Optimization and Operational Excellence

One of the most important ingredients which is intertwined with customer experience is growing network demands and capability to deliver superior customer service and forecast growth. The network service providers and leverage our network optimization analytics, to significantly improve, optimize and upgrade their network, minimize outages, simplify the network operations and control, undertake capacity planning, improve customer experience, and drive overall revenue.